Enterprise AI Value Strategist - Manager (all genders)

Drive AI-powered business reinvention and help leading organizations turn data, AI, and emerging technologies into measurable business value. Your Mission As an Enterprise AI Value Strategist, you advise clients on how to create and capture value from AI and data. You define enterprise, industry-specific and function-specific AI and data strategy, develop value cases and roadmaps, shape AI and data operating models and platform strategy, embed Responsible AI, and lead tech-driven transformations.

You translate complex data into actionable insights, engaging senior client stakeholders, leading workstreams and large-scale delivery, and tying AI initiatives to measurable business outcomes. Your Daily Work - Shape vision and create opportunities for data & AI led business reinvention. - Define and structure an organization’s data and AI strategy to build and optimize data assets and AI technologies for growth & competitive advantages. - Assess maturity of an organization's AI and data foundation.

Define building blocks required to convert to an AI-first organization, including technology and AI platform blueprint, data strategy and future-ready operating model. - Create the business case, investment profile and roadmap to deliver on the strategy. - Infuse Responsible AI in vision and roadmap, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. - Identify people, processes and technologies to develop and operationalize AI solutions. - Create strategy for AI-first products and develop commercialization opportunities Who You Are - AI & Data experience — including solutioning, designing, or delivering AI & Data projects - High-value consulting experience, including large-scale delivery with minimal oversight and proven ability to lead workstreams and meet deadlines or relevant industry / functional experience - Experience in managing senior stakeholders - Engineering problem-solver mindset — ability to apply technology creatively to complex business problems - Strong program management and verbal and written communication skills - Driven and entrepreneurial: ability to originate and shape new deals and lead go-to-market activities - Excellent leadership and people skills: proven ability to build effective teams, foster collaboration and inclusion, and build strong relationships with stakeholders / clients - Completed university degree in business, technology, data science, engineering, or a related discipline.- Applicants must be fluent in German, both written and spoken What We Offer - Hybrid working and flexible work models that support your individual way of working.- Access to leading AI, cloud, and data initiatives for global clients across industries.- Extensive learning opportunities, certifications, and access to thousands of training programs.- Mentoring, coaching, and career development programs to accelerate your professional growth.- Collaboration with leading technology ecosystem partners and highly skilled multidisciplinary teams.

Accenture Culture: Here, YOU are the catalyst for change Your unique combination of skills, personality, and aspirations sets you apart. When distinct talents, strengths, and perspectives merge, the result is nothing short of extraordinary: ideas that propel the world forward. This is why we champion diversity and personal development at Accenture. Create a working environment where you truly thrive; with responsibilities that resonate deeply; with a workload that is perfectly aligned with your capabilities; and methods that are tailored to your objectives.

How you wish to connect, further your development, and personally evolve rests in your hands. This is your career. We are mere facilitators, helping you shape it exactly as you envision. Contact Us Any questions left? Feel free to contact our recruiting team via email at recruiting_germany@accenture.com. We look forward to your application.#LI-EU AI & Data Operating Model, AI & Data Patterns & Technologies, AI & Data Processes, AI & Data Solution Architecture, AI & Data Strategy, AI Platform Strategy, Artificial Intelligence (AI), Data Value Articulation, Responsible AI